Douglas Dynamics (PLOW) Long-Term Debt Repayments (2010 - 2026)
Douglas Dynamics (PLOW) reported Long-Term Debt Repayments of $1.88 million for Q2 2026, unchanged from $1.88 million a year earlier and unchanged from the prior quarter.
Douglas Dynamics (PLOW) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Douglas Dynamics' Long-Term Debt Repayments came in at $7.5 million, down 96.1% year-over-year; for FY2025, it was $153.31 million, up 265.0% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive years, though with a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $42 million in FY2024 (+127.8%), $18.44 million in FY2023 (+63.9%), $11.25 million in FY2022 (-95.5%) and $249.94 million in FY2021 (-9.9%).
- Five-year quarterly Long-Term Debt Repayments spans a low of -$1,000 in Q4 2023 and a high of $147.69 million in Q1 2025.
- Year over year, Long-Term Debt Repayments gained in 1 of the last four quarters, with growth averaging 8.4%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2023 (growth of 355.5%); the low point was Q2 2022 (a decline of 98.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.88 million (Q1 2026), $1.88 million (Q4 2025) and $1.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Douglas Dynamics | 916.22 Mn | 890.22 Mn | 66.80 Mn | 1.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.88 Mn |
| Mar 31, 2026 | 1.88 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 1.88 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 147.69 Mn |
| Sep 30, 2024 | 42.00 Mn |
| Dec 31, 2023 | -1,000.00 |
| Sep 30, 2023 | 12.81 Mn |
| Jun 30, 2023 | 2.81 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Dec 31, 2022 | 2.81 Mn |
| Sep 30, 2022 | 2.81 Mn |
| Jun 30, 2022 | 2.81 Mn |
| Mar 31, 2022 | 2.81 Mn |
| Dec 31, 2021 | 2.81 Mn |
| Sep 30, 2021 | 2.81 Mn |
| Jun 30, 2021 | 223.63 Mn |
| Mar 31, 2021 | 20.69 Mn |
| Dec 31, 2020 | 30.02 Mn |
Douglas Dynamics Long-Term Debt Repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PLOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PLOW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PLOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();